120 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Commonwealth Scientific and Industrial Research OrganisationAU11 papers
- Data61AU6 papers
- The University of QueenslandAU5 papers
- Queensland University of TechnologyAU3 papers
- Australian National UniversityAU2 papers
- International Centre for Radio Astronomy ResearchAU2 papers
- The University of Western AustraliaAU2 papers
- Aalto UniversityFI1 paper
- AGH University of KrakowPL1 paper
- Animal, Food and Health SciencesAU1 paper
- ARC Centre of Excellence for Mathematical and Statistical FrontiersAU1 paper
- Arvalis - Institut du VégétalFR1 paper
14 papers
Highlighting Case Studies in LLM Literature Review of Interdisciplinary System Science
Lachlan McGinness, Peter Baumgartner
Large Language Models (LLMs) were used to assist four Commonwealth Scientific and Industrial Research Organisation (CSIRO) researchers to perform systematic literature reviews (SLR…
Empirical Upscaling of Point-scale Soil Moisture Measurements for Spatial Evaluation of Model Simulations and Satellite Retrievals
Yi Yu, Brendan P. Malone, Luigi J. Renzullo
The evaluation of modelled or satellite-derived soil moisture (SM) estimates is usually dependent on comparisons against in-situ SM measurements. However, the inherent mismatch in…
Development of an updated, comprehensive food composition database for Australian-grown horticultural commodities
Eleanor Dunlop, Judy Cunningham, Paul Adorno +3
Australian agriculture supplies many horticultural commodities to domestic and international markets; however, food composition data for many commodities are outdated or unavailabl…
Operational Research: Methods and Applications
Fotios Petropoulos, Gilbert Laporte, Emel Aktas +79
Throughout its history, Operational Research has evolved to include a variety of methods, models and algorithms that have been applied to a diverse and wide range of contexts. This…
Deep reinforcement learning for irrigation scheduling using high-dimensional sensor feedback
Yuji Saikai, Allan Peake, Karine Chenu
Deep reinforcement learning has considerable potential to improve irrigation scheduling in many cropping systems by applying adaptive amounts of water based on various measurements…
SPARKESX: Single-dish PARKES data sets for finding the uneXpected -- A data challenge
Suk Yee Yong, George Hobbs, Minh T. Huynh +6
New classes of astronomical objects are often discovered serendipitously. The enormous data volumes produced by recent high-time resolution, radio-telescope surveys imply that effi…
In-situ animal behavior classification using knowledge distillation and fixed-point quantization
Reza Arablouei, Liang Wang, Caitlin Phillips +3
We explore the use of knowledge distillation (KD) for learning compact and accurate models that enable classification of animal behavior from accelerometry data on wearable devices…
Deep Learning for Prawn Farming: Forecasting and Anomaly Detection
Joel Janek Dabrowski, Ashfaqur Rahman, Andrew Hellicar +2
We present a decision support system for managing water quality in prawn ponds. The system uses various sources of data and deep learning models in a novel way to provide 24-hour f…
Innovative Approaches in Soil Carbon Sequestration Modelling for Better Prediction with Limited Data
Mohammad Javad Davoudabadi, Daniel Pagendam, Christopher Drovandi +2
Soil carbon accounting and prediction play a key role in building decision support systems for land managers selling carbon credits, in the spirit of the Paris and Kyoto protocol a…
Deep Learning-based Cattle Activity Classification Using Joint Time-frequency Data Representation
Seyedeh Faezeh Hosseini Noorbin, Siamak Layeghy, Brano Kusy +3
Automated cattle activity classification allows herders to continuously monitor the health and well-being of livestock, resulting in increased quality and quantity of beef and dair…
Looking for change? Roll the Dice and demand Attention
Foivos I. Diakogiannis, François Waldner, Peter Caccetta
Change detection, i.e. identification per pixel of changes for some classes of interest from a set of bi-temporal co-registered images, is a fundamental task in the field of remote…
Potential impacts of ballast water regulations on international trade, shipping patterns, and the global economy: An integrated transportation and economic modeling assessment
Zhaojun Wang, Duy Nong, Amanda M. Countryman +2
Global ballast water management regulations aiming to decrease aquatic species invasion require actions that can increase shipping costs. We employ an integrated shipping cost and…
Global Wheat Head Detection (GWHD) dataset: a large and diverse dataset of high resolution RGB labelled images to develop and benchmark wheat head detection methods
E. David, S. Madec, P. Sadeghi-Tehran +14
Detection of wheat heads is an important task allowing to estimate pertinent traits including head population density and head characteristics such as sanitary state, size, maturit…
Impaction of spray droplets on leaves: influence of formulation and leaf character on shatter, bounce and adhesion
Gary J. Dorr, Shuangshuang Wang, Lisa C. Mayo +4
This paper combines experimental data with simple mathematical models to investigate the influence of spray formulation type and leaf character (wettability) on shatter, bounce and…